U qh @sHddlmZddlmZddlZddlmZmZddddddd ZdS) ) annotations)AnyN) ModelProtoValueInfoProtorzdict[str, list[Any]])model input_dims output_dimsreturnc stdddddd}||jj||jj||jjddd d dd fd d }|jjD]2}|j}||}t|D]\}} ||| ||q~qd|jjD]2} | j} || } t| D]\}} || | || qqtj ||S)aMThis function updates the dimension sizes of the model's inputs and outputs to the values provided in input_dims and output_dims. if the dim value provided is negative, a unique dim_param will be set for that dimension. Example. if we have the following shape for inputs and outputs: * shape(input_1) = ('b', 3, 'w', 'h') * shape(input_2) = ('b', 4) * shape(output) = ('b', 'd', 5) The parameters can be provided as: :: input_dims = { "input_1": ['b', 3, 'w', 'h'], "input_2": ['b', 4], } output_dims = { "output": ['b', -1, 5] } Putting it together: :: model = onnx.load('model.onnx') updated_model = update_inputs_outputs_dims(model, input_dims, output_dims) onnx.save(updated_model, 'model.onnx') zset[str]zlist[ValueInfoProto]None) dim_param_set value_infosr cSs:|D]0}|jjj}|jD]}|dr||jqqdS)N dim_param)type tensor_typeshapedimHasFieldaddr )r r inforrr@/tmp/pip-unpacked-wheel-xnis5xre/onnx/tools/update_model_dims.pyinit_dim_param_set1s    z6update_inputs_outputs_dims..init_dim_param_setrrintstr)tensorrjnamer c s|jjjj|}t|tr|dkrb|drZ|j|krZtd|d|d|d|jd ||_q|dt |}|krtd |d|d ||_ n$t|t r||_ ntd t|dS) Nr dim_valuez!Unable to set dimension value to z for axis z of z'. Contradicts existing dimension value ._z-Unable to generate unique dim_param for axis z,. Please manually provide a dim_param value.z@Only int or str is accepted as dimension value, incorrect type: ) rrrr isinstancerrr ValueErrorrr )rrrrZ dim_protoZgenerated_dim_paramr rr update_dim>s&   z.update_inputs_outputs_dims..update_dim) setgraphinputoutputZ value_infor enumerateonnxcheckerZ check_model) rrrrr#Zinput_Z input_nameZ input_dim_arrrrr'Z output_nameZoutput_dim_arrrr"rupdate_inputs_outputs_dims s$#    r+) __future__rtypingrZ onnx.checkerr)rrr+rrrrs